A Method of Freshness Detection of Milkfish (Chanos Chanos) in Image Processing Using Modified Wavelet Transform

Renante A. Diamante, Bobby D. Gerardo and Arnel C. Fajardo

Freshness has an important role in determining the quality of fish by the consumers. It is very important to consumers to know that the fish when it is not fresh can cause harm and becomes poisonous. Since that milkfish (chanos chanos) is one of the indem and fish in the market today. Generally, this study aimed to classify fish into fresh and not fresh based on modified set of features based on wavelet transform coefficients and suppport vector machine to classify the fish freshness. The eyes, gills, and body tissues of the fish sample are automatically segmented using a clustering based method and its features are strategically extracted in the wavelet transformation domain using coiflet wavelet filter. It uses six scaling and wavelet function coefficients, so increase in pixel averaging and differencing leads to a smoother wavelet and increased capabilities in several image-processing techniques. The experimental was made and executed using MATLAB image processing technique and coiflet wavelet transform to improve the image better. The results of the study showed that the method gains better performance in terms of freshness percentage.

Volume 12 | 01-Special Issue

Pages: 132-142

DOI: 10.5373/JARDCS/V12SP1/20201056